With the co-occurrence, two words that occur together are identified by statistical measures and this is used to form the phrases. The lexical co-occurrence of words is also used to construct semantic spaces [1]}, [2]}. In co-occurrence approaches, the construction process is automated and no human judgement of the meaning of words is necessary. This addresses problems with the traditional semantic space approach established by Osgood [3]}, [4]}. The first problem was that human intervention is needed to determine a set of axes that sufficiently represent the meaning of texts. The second problem was a practical problem of gathering information from human judges to determine where words are placed along these axes. This means that human input of size the number of axes multiplied by the number of words is needed. This is a huge problem with large numbers of words.
